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Aiops Engineer Jobs (NOW HIRING)

Senior AI Ops Engineer

Fort Belvoir, VA · On-site

$118K - $162K/yr

Leidos is seeking a Senior AIOps Engineer to support critical mission operations within a secure environment and lead the transformation of our IT Service Management (ITSM) capabilities. This role is ...

Senior AI Ops Engineer

Fort Belvoir, VA · Hybrid

$118K - $162K/yr

Leidos is seeking a Senior AIOps Engineer to support critical mission operations within a secure environment and lead the transformation of our IT Service Management (ITSM) capabilities. This role is ...

Senior AIOps ML Engineer

Woodland Hills, CA · On-site

$110K - $151K/yr

Diverse Lynx is a company seeking a Senior AIOps ML Engineer. The role involves designing and developing machine learning models and data engineering solutions for AIOps, focusing on multi-domain ...

Partner with SRE, Cloud Engineering, Infrastructure, Security, and Application teams to embed ... Ensure AIOps solutions are implemented with strong governance, security, auditability, and ...

You will define and drive the AIOps strategy for the organization, combining cloud operations, observability, automation, SRE practices, and AI/agentic solutions to improve reliability, incident ...

Partner with SRE, Cloud Engineering, Infrastructure, Security, and Application teams to embed ... Ensure AIOps solutions are implemented with strong governance, security, auditability, and ...

Partner with SRE, Cloud Engineering, Infrastructure, Security, and Application teams to embed ... Ensure AIOps solutions are implemented with strong governance, security, auditability, and ...

As a Senior Staff Engineer in Operations, you will lead and mentor a high-performing team to scale our AI-enabled operations model and deliver AIOps solutions that streamline operational workstreams ...

Partner with AIOps Engineer to implement monitoring, alerting, and optimization strategies for AI applications and services. * Participate in rapid prototyping and proof-of-concept development to ...

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Showing results 1-20

Aiops Engineer information

What is the salary of AIOps engineer?

The salary of an AIOps engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and the size of the organization. Professionals with advanced skills in machine learning, automation tools, and cloud platforms may earn higher compensation.

What are some typical responsibilities and challenges faced by Aiops Engineers on a daily basis?

Aiops Engineers are responsible for designing and implementing automation solutions that monitor and manage IT infrastructure, troubleshoot complex issues, and optimize processes using AI and machine learning techniques. A typical day may involve collaborating with developers, DevOps teams, and IT managers to analyze incidents, reduce false positives, and automate repetitive tasks. Common challenges include integrating diverse monitoring tools, maintaining system reliability in dynamic environments, and ensuring scalability of automation frameworks. Working in this role often means adapting quickly to new technologies and rapidly evolving operational landscapes, which helps build valuable expertise and career growth opportunities.

What are the key skills and qualifications needed to thrive in the Aiops Engineer position, and why are they important?

To thrive as an Aiops Engineer, you need expertise in IT operations, automation, data analytics, and machine learning, often supported by a degree in computer science or a related field. Proficiency with tools like Kubernetes, Prometheus, Splunk, and cloud platforms, as well as certifications in DevOps or cloud administration, is highly valued. Strong problem-solving abilities, effective communication, and a collaborative mindset are important soft skills in this field. These skills ensure smooth deployment and maintenance of AI-driven operational solutions, leading to enhanced system reliability and efficiency.

What does an AIOps Engineer do?

An AIOps Engineer focuses on applying artificial intelligence (AI) and machine learning (ML) to IT operations. They develop and implement algorithms to automate monitoring, anomaly detection, and incident resolution, improving system reliability and performance. Their work involves analyzing vast amounts of data from IT environments to predict issues and optimize workflows. AIOps Engineers collaborate with DevOps and IT teams to enhance operational efficiency and reduce downtime.

Is AIOps a good career?

AIOps engineering is a growing field that involves using artificial intelligence and machine learning to automate IT operations and improve system reliability. It requires skills in data analysis, scripting, and familiarity with tools like ML frameworks and monitoring platforms. The role offers opportunities in various industries, with increasing demand for professionals who can manage complex, automated IT environments.

What engineer makes 500,000 a year?

An AIOps Engineer can earn $500,000 annually, especially with extensive experience, advanced skills in automation, cloud platforms, and data analysis, and working in high-demand industries or senior leadership roles. Such compensation often includes bonuses, stock options, or other incentives for top-tier professionals in the field.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as an AI architect, senior machine learning engineer, or AI director, often requiring advanced skills, extensive experience, and sometimes executive responsibilities. These roles may involve leading AI projects, developing innovative algorithms, and working with complex data systems, often offering compensation in this high range due to the expertise required.
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What cities are hiring for Aiops Engineer jobs? Cities with the most Aiops Engineer job openings:
What are the most commonly searched types of Aiops Engineer jobs? The most popular types of Aiops Engineer jobs are:
What states have the most Aiops Engineer jobs? States with the most job openings for Aiops Engineer jobs include:
Infographic showing various Aiops Engineer job openings in the United States as of July 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution.
Senior AI Ops Engineer

Senior AI Ops Engineer

Leidos

Fort Belvoir, VA • On-site

$118K - $162K/yr

Full-time

Posted 7 days ago


Leidos rating

8.4

Company rating: 8.4 out of 10

Based on 149 frontline employees who took The Breakroom Quiz

56th of 449 rated business services


Job description

Leidos is seeking a Senior AIOps Engineer to support critical mission operations within a secure environment and lead the transformation of our IT Service Management (ITSM) capabilities. This role is responsible for the design, deployment, and management of AIOps solutions that enhance the reliability and security of Department of War (DoW) networks and systems.
Acting as the technical lead for this initiative, you will orchestrate integrations across existing Network Engineering, ServiceNow, and SolarWinds teams.You will utilize Splunk and the Machine Learning Toolkit (MLTK) to provide descriptive and predictive analytics and establish closed-loop automated incident response, ensuring the high availability of mission-essential infrastructure.
Primary Responsibilities
  • Cross-Functional Leadership: Lead the AIOps platform initiative by acting as the primary technical liaison to existing Network Engineering, ServiceNow, and SolarWinds administration teams to establish unified telemetry pipelines.
  • ITSM Orchestration & Automation: Architect closed-loop remediation workflows by deeply integrating Splunk ITSI alerts with ServiceNow Event Management and Incident Management modules.
  • Mission-Critical Observability: Architect and maintain Splunk AIOps solutions across unclassified and classified enclaves to provide real-time situational awareness.
  • Infrastructure Telemetry Integration: Normalize and correlate network performance and fault data from SolarWinds with server and application logs to provide a holistic view of enterprise health.
  • Advanced ML Development: Deploy custom machine learning models via Splunk MLTK to identify anomalous behavior, potential cyber threats, and infrastructure degradations.
  • Secure Data Integration: Engineer secure data ingestion pipelines for telemetry data from cross-domain solutions and tactical edge devices.
  • Incident Reduction: Utilize IT Service Intelligence (ITSI) to correlate multi-source events, reducing noise and prioritizing high-impact mission alerts.
  • Cyber Defense Support: Collaborate with the Cyber Security Service Provider (CSSP) to integrate AIOps insights into defensive cyber operations (DCO).
  • Compliance & Documentation: Ensure all observability tools comply with DoW STIGs and IL5/IL6 protocols; develop and maintain architectural documentation and compliance traceability.
  • Mission Alignment: Stay current on AIOps and related capabilities relevant to DoD, federal, and intelligence mission systems.

Basic Qualifications
  • Security Clearance: Active Top Secret / Sensitive Compartmented Information (TS/SCI) required at time of hire.
  • Certification: Active IAT Level II certification (e.g., Security+ CE, CySA+, GSEC, or SSCP) required.
  • Citizenship: United States Citizenship is required.
  • Platform Experience: 7+ years of experience with Splunk Enterprise, including architectural design, cluster management, and advanced Search Processing Language (SPL).
  • AIOps & ITSM: 3+ years of experience implementing AIOps workflows, including integration with enterprise ITSM solutions (ServiceNow) for automated root cause analysis and remediation.
  • Machine Learning: Proven track record of building, testing, and tuning supervised and unsupervised models within the Splunk MLTK.
  • Scripting & Automation: Advanced scripting skills for developing custom search commands, API integrations, and automating remediation tasks (e.g., Python).
  • Leadership: Experience leading technical working groups and directing the efforts of adjacent infrastructure and development teams.
  • Operational Experience: Prior experience working within a DoW/DoD Operations Center (NOC/SOC) or supporting mission-critical systems and networks.
  • Communication: Must be able to present designs, plans, and analyses of alternatives to technical leadership boards for approvals.

Preferred Qualifications
  • Enterprise Aggregation: Experience aggregating and correlating telemetry from diverse tools, specifically SolarWinds, ServiceNow, and VMware vCenter.
  • Expert Certification: Splunk Enterprise Certified Architect or Splunk ITSI Certified Admin.
  • Cloud Observability: Experience with Cloud Native Computing Foundation (CNCF) observability tools in secure hybrid multi-cloud environments (Azure/AWS).

RMF/ATO Knowledge: Understanding of the Risk Management Framework (RMF) and the Authorization to Operate (ATO) process for AI/ML workloads.
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.
Original Posting:
May 8, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $131,300.00 - $237,350.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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